# v-mcp-aggregator-server

> v-mcp-aggregator-server — virajsharma2000-v-mcp-aggregator-server. Use this tool when you need to efficiently search and utilize multiple MCP tools, as it aggregates capabilities from various MCP servers into a vector database, enabling quick discovery and dependent calling of tools to enhance overall MCP system performance. It solves the problem of tool discovery and integration, providing a unified interface for LLMs to access multiple tools. Ideal for use cases requiring rapid tool searching and calling, such as large-scale AI applications.

Canonical page: https://skillsregistry.net/skills/virajsharma2000-v-mcp-aggregator-server  
JSON: https://api.skillsregistry.net/v1/skills/virajsharma2000-v-mcp-aggregator-server

## Description

this is a simple mcp server which does tool discovery in multiple mcp servers and puts in vector database so that llms are quickly be able to search available mcp tools as an aggregate capability and call them in dependent way, so it will increase the performance of the mcp system

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** GPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/virajsharma2000/v-mcp-aggregator-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "virajsharma2000-v-mcp-aggregator-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/virajsharma2000-v-mcp-aggregator-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/virajsharma2000-v-mcp-aggregator-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt